⛰️ Gradient Descent - pfh · Scour

A Machine Learning Approach to Two-Stage Adaptive Robust Optimization 🎪Convex Optimization

Hybrid Deep Learning Approach for Coupled Demand Forecasting and Supply Chain Optimization 📐Matrix Factorization

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving 🔲Zarr

Sulcal Pattern Matching with the Wasserstein Distance 🗺️UMAP

Near-Future Policy Optimization 🎪Convex Optimization

Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization 🗺️Manifold Learning

Language as a Latent Variable for Reasoning Optimization 🔢Embeddings

RL-ABC: Reinforcement Learning for Accelerator Beamline Control 🦠Whole cell model

DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction 🗺️Manifold Learning

BASIS: Balanced Activation Sketching with Invariant Scalars for "Ghost Backpropagation" 🗺️Manifold Learning

AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT 🔲Zarr

From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges 📊Empirical Bayes

Computationally Efficient Sparse Signal Recovery via Linear Sketching and Deep Unfolding 🗺️Manifold Learning

Novelty-Based Generation of Continuous Landscapes with Diverse Local Optima Networks 📐Computational Geometry

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization 🔢Embeddings

Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search 🎪Convex Optimization

Effective Traveling for Metric Instances of the Traveling Thief Problem 📐Computational Geometry

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling 🎪Convex Optimization

Last-Iterate Guarantees for Learning in Co-coercive Games 🔗Markov Chains

Reciprocal Co-Training (RCT): Coupling Gradient-Based and Non-Differentiable Models via Reinforcement Learning 🗺️Manifold Learning

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